The reconstruction loss of the trained LSTM Autoencoder model is estimated for the up-to-date reliability streaming data, and the result is used to infer MEC services’ runtime reliability anomalies.

Deepfake Image Detection using Convolutional Neural Networks (CNN) with PyTorch and TensorFlow, achieving ~97% accuracy. Classifies real and fake images with efficient preprocessing and model training ...

The model comprises a deep convolutional LSTM encoder-decoder architecture. Extensive empirical analyses using real-world data obtained from a metal packaging plant in the United Kingdom demonstrate ...